Overview of independent component analysis technique with an application to synthetic aperture radar (SAR) imagery processing

被引：48

作者：

Fiori, S ^{[1
]}

机构：

[1] Univ Perugia, Fac Engn, I-06100 Terni, Italy

来源：

NEURAL NETWORKS | 2003年 / 16卷 / 3-4期

关键词：

blind signal processing by neural networks; independent component analysis (ICA); remote sensing; synthetic aperture radar (SAR);

D O I：

10.1016/S0893-6080(03)00016-9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present an overview of independent component analysis, an emerging signal processing technique based on neural networks, with the aim to provide an up-to-date survey of the theoretical streams in this discipline and of the current applications in the engineering area. We also focus on a particular application. dealing with a remote sensing technique based on synthetic aperture radar imagery processing: we briefly review the features and main applications of synthetic aperture radar and show how, blind signal processing by neural networks may be advantageously employed to enhance the quality of remote sensing data. (C) 2003 Elsevier Science Ltd. All rights reserved.

引用

页码：453 / 467

页数：15

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